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wav2vec2-base-mscd1
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8065
- Wer: 0.3824
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.6008 | 41.67 | 500 | 4.7974 | 1.0 |
| 1.2892 | 83.33 | 1000 | 1.7488 | 0.5 |
| 0.1991 | 125.0 | 1500 | 1.3122 | 0.4412 |
| 0.109 | 166.67 | 2000 | 1.3265 | 0.3235 |
| 0.071 | 208.33 | 2500 | 1.1280 | 0.3529 |
| 0.0508 | 250.0 | 3000 | 1.6514 | 0.3529 |
| 0.0365 | 291.67 | 3500 | 1.8065 | 0.3824 |
Framework versions
- Transformers 4.24.0
- Pytorch 2.0.0+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3
